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Intro to Deep Learning With BigDL

Overview

The abundance of data and affordable cloud scale has led to an explosion of interest in Deep Learning. Intel has released an excellent library called BigDL to open-source, allowing state-of-the-art machine learning done at scale.

Why should you use BigDL? Use BigDL if you want to get the power of Deep Learning on your ML workflows on Spark and Hadoop. Do you find yourself using SVMs and Random Forests for everything on Spark MLlib? Wish you could do deep learning instead?

What you will learn:

Introduction to Deep Learning

Deep Learning concepts

Introducing the BigDL Library

RDD API versus Pipeline API

Using BigDL with Tensorflow and Caffe models.

Visualizing Deep Learning Data with Tensorboard

Scaling Deep Learning with to massive distributed data

Duration:

3 Days

Audience:

Developers, Data analysts, data scientists

Prerequisites:

Basic knowledge of Python language and Jupyter notebooks is assumed.

Basic knowledge of Linux environment would be beneficial

Some Machine Learning familiarity would be nice, but not necessary.

Lab environment:

Cloud servers will be provided students for installation, administration and lab work. Students would need a SSH client and a browser to access the cluster. Most labs will be in jupyter notebook format.